getpvalue {GraphAT} | R Documentation

## Function to obtain P values from the Edge permutation and Node permutation tests respectively

### Description

The function takes as inputs two adjacency matrices. Let X denote the observed number of edges in common between the two adjacency matrices. To test the significance of the correlation between the two data sources, the function performs N random edge permutations and random node permutations respectively. For each permutation test, the function outputs the proportion of N realizations that resulted in X edges or more at the intersection of the two datasources

### Usage

    getpvalue(act.mat, nonact.mat, num.iterations = 1000)

### Arguments

`act.mat` | Adjacency matrix corresponding to first data source. That is, the i,j element of this matrix is 1 if data source one specifies a functional link between genes i and j
`nonact.mat` | Adjacency matrix corresponding to first data source. That is, the i,j element of this matrix is 1 if data source two specifies a functional link between genes i and j
`num.iterations` | Number of realizations from random edge (node) permutation to be obtained

### Details

We note that the first adjacency matrix, denoted act.mat is the data source that is permutated with respect to edges or notes

### Value

A vector of length 2, where the first element is the P value from Random Edge Permutation and the second element is the P value from Random Node Permutation

### Author(s)

Raji Balasubramanian rbalasub@hsph.harvard.edu

### See Also

`permEdgesM2M`, `permNodesM2M`, `makeClustM`

### Examples

    act.mat <- matrix(0,3,3)
    act.mat[2,1] <- 1
    act.mat[3,1] <- 1
    nonact.mat  <- matrix(0,3,3)
    nonact.mat[2,1] <- 1
    nonact.mat[3,2] <- 1
    p.val <- getpvalue(act.mat, nonact.mat, num.iterations = 100)
    print(p.val)

[Package GraphAT version 1.14.0 Index]